Triple
T30585532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loch Maree |
E778498
|
entity |
| Predicate | rankByLengthInScotland |
P18229
|
FINISHED |
| Object | one of the longest freshwater lochs |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: one of the longest freshwater lochs | Statement: [Loch Maree, rankByLengthInScotland, one of the longest freshwater lochs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankByLengthInScotland Context triple: [Loch Maree, rankByLengthInScotland, one of the longest freshwater lochs]
-
A.
rankInScotlandByArea
Indicates the numerical position of an entity in an ordered list of areas specifically within Scotland, based on its size.
-
B.
rankingInScotlandByHeight
Indicates the position of something in an ordered list of tallest entities specifically within Scotland.
-
C.
rankByLength
chosen
Indicates ordering a set of items based on their length, typically from shortest to longest or vice versa.
-
D.
nobleRankInScotland
Indicates that an entity holds or is associated with a specific noble rank within the Scottish system of nobility.
-
E.
rankByLengthInWorld
Indicates ordering entities within a given world or context based on their length, from shortest to longest or vice versa.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224a04b248190b0ca443ec86207b8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:23 p.m.